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How to simulate steel surface by dft? 


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To simulate a steel surface using Density Functional Theory (DFT), researchers have employed various approaches. Studies have utilized DFT calculations combined with Monte Carlo simulations to investigate the interaction of corrosion inhibitors with steel surfaces, predicting properties like EHOMO, ELUMO, and adsorption energies . Additionally, DFT models have been applied to predict the behavior of extreme pressure additives on low-alloy steel surfaces, considering the reactivity of sulfur-containing molecules with iron surfaces and the formation of strengthening FeSx compounds . Furthermore, DFT has been utilized in developing computer simulation models to reproduce brittle fracture surface morphologies in steels, considering factors like local stress intensity, crack front irregularity, and shear stress at fracture surfaces . These studies collectively showcase the versatility and effectiveness of DFT in simulating steel surfaces for various applications.

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Using DFT modeling, simulate the reaction of sulfur extreme-pressure additive (DTDP) on iron surface to understand its chemical stability, reactivity, and surface strengthening mechanisms.
The steel surface can be simulated using Density Functional Theory (DFT) by quantum chemical calculations and molecular dynamics simulations, as demonstrated in the study on amino acids for mild steel corrosion.
Steel surface simulation by DFT involves employing Density Functional Theory calculations to model the interaction of inhibitors like carbohydrazide Schiff bases with Fe (110) surface for corrosion inhibition assessment.
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